Results 41 to 50 of about 23,265,687 (345)
Design of a ship model for hydro-elastic experiments in waves
Large size ships have a very flexible construction resulting in low resonance frequencies of the structural eigen-modes. This feature increases the dynamic response of the structure on short period waves (springing) and on impulsive wave loads (whipping).
Marón Adolfo, Kapsenberg Geert
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Grammar-based Automatic 3D Model Reconstruction from Terrestrial Laser Scanning Data [PDF]
The automatic reconstruction of 3D buildings has been an important research topic during the last years. In this paper, a novel method is proposed to automatically reconstruct the 3D building models from segmented data based on pre-defined formal grammar
Q. Yu, P. Helmholz, D. Belton, G. West
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Analysis of the flexural mode response of a novel trimaran by segmented model test
A novel ship concept design is significantly an "adhoc" process. In the preliminary design stage of novel vessels, it is very important to be able to develop an initial estimate of the effects of stiffness and mass distribution on the longitudinal ...
Karim Akbari Vakilabadi +2 more
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Spinon-Holon binding in $t-J$ model [PDF]
Using a phenomenological model, we discuss the consequences of spinon-holon binding in the U(1) slave-boson approach to $t-J$ model. Within a small $x$ ($x=$ hole concentration) expansion, we show that spinon-holon binding produces a pseudo-gap normal ...
F. C. Zhang, G. D. Mahan, Tai-Kai Ng
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ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li +9 more
wiley +1 more source
Deep Probability Segmentation: Are Segmentation Models Probability Estimators?
Deep learning has revolutionized various fields by enabling highly accurate predictions and estimates. One important application is probabilistic prediction, where models estimate the probability of events rather than deterministic outcomes. This approach is particularly relevant and, therefore, still unexplored for segmentation tasks where each pixel ...
Simone Fassio +2 more
openaire +2 more sources
Superpixel Segmentation Using Gaussian Mixture Model [PDF]
Superpixel segmentation algorithms are to partition an image into perceptually coherence atomic regions by assigning every pixel a superpixel label. Those algorithms have been wildly used as a preprocessing step in computer vision works, as they can enormously reduce the number of entries of subsequent algorithms.
Zhihua Ban, Jianguo Liu, Li Cao
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Mapping the evolution of mitochondrial complex I through structural variation
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Segmented Iba1-Positive Processes of Microglia in Autism Model Marmosets
Autism spectrum disorder (ASD) is one of the most widespread neurodevelopmental disorders, characterized by impairment in social interactions, and restricted stereotyped behaviors.
Tomomi Sanagi +6 more
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DeepLabV3-Refiner-Based Semantic Segmentation Model for Dense 3D Point Clouds
Three-dimensional virtual environments can be configured as test environments of autonomous things, and remote sensing by 3D point clouds collected by light detection and range (LiDAR) can be used to detect virtual human objects by segmenting collected ...
Jeonghoon Kwak, Yunsick Sung
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